2026年全球光伏报告：基于373吉瓦数据的深度洞察 Global Solar Report Insights from 373GW of Data

2026Edition

GlobalSolarReport

Insightsfrom373GWofData

©2026RaptorMaps.Allrightsreserved.

©2026RaptorMaps.Allrightsreserved.

Contents

Introduction

ExecutiveSummary

Chapter1:AssetHealthDispatch

Chapter2:OptimizingPerformancewithRoboticsChapter3:RiskManagementandInsurance

Conclusion

AboutRaptorMaps

Introduction

Welcometothe2026editionoftheGlobalSolarReport.Eachyear,RaptorMapsanalyzesdataonanarrayoftopics–fromassetperformanceanddowntimerisktolaboravailabilityandoperationalbestpractices–in

ordertoprovidetimelycommentaryonchallenges,opportunities,andtrendsshapingthesolarindustry.

Thisyear’sReportisdividedintothreechapters.Chapter1looksatthe

stateofsolarperformance,withafocusonDChealth.HowhasDCpowerlossevolvedovertime?Howdoesperformancechangeassitesage?

Whatfactorsaredrivingthesechanges?Chapter2looksatburgeoningdataontheeffectsofroboticsonDChealth.Specifically,with

autonomouslyoperatingdockeddronesthatliveonsite24/7,howistheadoptionofthesetechnologieschanginghowownersandoperators

gatherdataontheirassets,andwhatimpactisthathavingonpower

production?Lastly,Chapter3goesbeyondDChealthandexploresanarrayofdataonothercriticalcomponentsofasolarfarm,like

substations,trackers,andbehind-the-panelwiring.Thisdataoffers

uniqueinsightsintothetypes,andmagnitudesofriskthatsolarassetsface,andhowownersandoperatorsarechangingtheirapproachestomanagingthatrisk.Thischapteralsocontainsaguestarticlelookingatinsuranceclaimsdataonsolarfarms,whichiscontributedbykWh

Analytics,aleadingclimateinsuranceunderwriter.

©2026RaptorMaps.Allrightsreserved.

©2026RaptorMaps.Allrightsreserved.

ExecutiveSummary

Thesolarindustrycontinuedtogrowatarapidpacein2025.Globally,380GWdcofsolarassetswerebroughtonlineinjustthefirsthalfof2025,a64%increaseoverthesame

periodin2024[

1

].Itisestimatedthatglobalinstalledsolarcapacitywillsurpass3TWin2026,enoughtopowertheentiretyoftheUnitedStatesandEuropeduringpeakdaylighthours.Thisgrowthisalsoexpectedtocontinueincomingyears,withglobalrenewableenergyoutputprojectedtodoubleby2030.SolarPVisexpectedtoaccountforalmost80%ofthisnewgrowth[

2

].

Thesestronggrowthprojectionscomeatatimeinwhichsolarisexperiencingdomesticpoliticalheadwinds.Thiscontradictionhighlightsthefactthatevenwithoutgovernment

subsidies,solarisestablishedasacost-competitive,ifnotcost-superior,energyinvestment.Arecentreportonthelevelizedcostofenergy(LCOE)illustratedthissentiment,statingthatsolarwas“thelowest-costandquickest-to-deploygeneration”option,evenwithouttaxsubsidies[

3

].

Theriseofartificialintelligence(AI)andtherelateddatacenterbuild-outbyhyperscalershavebeentheleadingstorybehindthegrowingelectricitydemandintheUnitedStates.AccordingtoaWoodMackenzieReport,asofJune,2025,utilitiesintheUShadalreadycommittedtosupplying64GWofnewcapacityjustfromdatacenterneeds–a12%

increaseinUSelectricitycapacity[

4

].Thatsaid,demandfromdatacentersisjustoneoffourmaindriversofthegrowthindemand,alongwithindustrialmanufacturing,transportationelectrification,andbuildingelectrification.

However,despitethisprojectedgrowth,thesolarindustryfacesbottlenecks.Laborsupplycontinuestosignificantlylagbehindcapacitygrowth.Overthepast5yearsintheUS,solarjobsgrewby12%whileinstalledcapacitygrewby286%.Asaresult,solartechnicianstodayareresponsiblefor70%moreMWthantheywerein2019,onaverage[

5

].

Atthesametimeaslaborisbecomingmoreconstrained,severeweatherconditionscontinuetoacutelythreatensolarassets.IntheUnitedStates,over99%ofsolarfarmsaresituatedinanareainwhichthereisa10%chanceofseeinghailbiggerthan2inchesincloseproximitytothesite[

6

].

Collectively,theeffectofthesetrendsisthatunderperformanceisstillamajorchallengeintheindustry,whichisconcerninggiventhatsolarfarmsarebecomingalarger

proportionoftheenergymixannually.Thisyear,theaveragepowerlossacrosssolarassetsinourdatasetwas5.08%,whichisaslightimprovementoverlastyear(averagepowerlossin2024was5.51%),butstillmorethandoublewhatitwas5yearsago.

[

1

]Ember,“GlobalSolarInstallationsSurge64%inFirstHalfof2025,”September19,2024,

/latest-updates/global-solar-installations-surge-64-in-first-half-of-2025/

[

2

]InternationalEnergyAgency.Renewables2025:AnalysisandForecaststo2030.Paris:IEA,2025.

/assets/76ad6eac-2aa6-4c55-9a55-b8dc0dba9f9e/Renewables2025.pdf

.

[3[Lazard.“LazardReleases2025LevelizedCostofEnergy+Report.”June16,2025.

[2]InternationalEnergyAgency.Renewables2025:AnalysisandForecaststo2030.Paris:IEA,2025./assets/76ad6eac-2aa6-4c55-9a55-b8dc0dba9f9e/Renewables2025.pdf

[4]Seiple,Chris,andBenHertz-Shargel.“USPowerStruggle:HowDataCentreDemandIsChallengingtheElectricityMarketModel.”WoodMackenzie,June2025.

/news/opinion/largest-data-centers-in-the-us-the-top-10-questions-on-data-centers-answered/

[

5

]InterstateRenewableEnergyCouncil.“15thAnnualNationalSolarJobsCensus2024.”November2025.

[1]Ember,“GlobalSolarInstallationsSurge64%inFirstHalfof2025,”September19,2024,/latest-updates/global-solar-installations-surge-64-in-first-half-of-2025/

.

[

6

]kWhAnalytics.“kWhAnalyticsRevealsTopRiskManagementChallengesforRenewableEnergyandBatteryEnergyStorageSystems.”June10,2025.

ExecutiveSummary

Thisunderperformanceissomethingthataffectssolarfarmsfromthemomenttheyarecommissioned.Thoughdatashowsthatsolarfarmsexhibitreducedperformanceastheyage,weobserved4.46%averagepowerlossatcommissioning,highlightinghowimportantactiveengagementandQA/QCarethroughouttheconstructionprocess.

Indeed,effortsarebeingmadetocombatthesetrends.Weshowedinourinaugural

2025StateofSolarRoboticsReport

thatownersandoperatorsareinvestinginroboticsand

automation,whichischangingoperationalmodelsformaintainingandmanagingsolarassets.Inthatreport,wenotedthatthemajorityofoursurveyrespondentswerealready

usingatleastonetypeofrobotontheirsolarfarm(drone,vegetationrobot,constructionrobot,etc.),with77%indicatingthattheyplannedtoincreasetheirinvestmentsinroboticsinthenext3-5years[

7

].

Thecontentsofthisreporttakethatanalysisfurtherbylookingnotjustatwhatroboticandautomationtoolsarebeingused,butalsoathowthesetechnologiesarebeingdeployedonsolarfarms,andwhateffecttheyarehavingonperformance,operationalefficiencyandriskmanagement.Below,welistthreemaintakeawaysfromthisanalysis:

In2025,averagepowerlosswas5.08%,whichwasaslightdecreaseyear-over-year,butstillstubbornlyhighrelativetotherunning5yearhistoricalaveragefrom2020-2024of3.5%.Notably,thispowerlosswasprominentinassetsofallages,includingbrandnewsites.

In2025,weanalyzed54GWofdataonsitesthatdeployeddockeddronesforautonomousinspections,a3.56xincreaseyear-over-year.Theresultsfromthislargersamplesizeofdatawereclear:sitesthatdeployedthistechnologyperformedbetter(3%avg.powerloss)relativetothelargersubsetofsites(5.08%).Wesuspectthatthisincreasein

performanceis,inpart,driventhroughincreasedfrequencyofinspections,whichyieldsmoreup-to-datedataforprioritizinganddrivingperformance-boostingactions.Thisthesiswassupportedbydata:siteswithautonomousdronecapabilitiesinspectedtheirsitesalmost12timesasmuchassiteswithoutthetechnology.

RaptorMapsanalyzed57.5GWofnon-aerialthermographysolardatain2025(i.e.wiring,substations,environmentalconditions,etc.),a3.94xincreaserelativeto2024.

Throughthisanalysis,wewereabletoprovideuniqueinsightsintothefrequencyofsubstationissuesandotherriskfactorsthatcanspikecostsanddowntime.Thedatafromthisincreaseinadvanced,non-aerialthermographyinspectionsspeakstotwotrendsthatweareobserving:(1)Assetownersareleveragingroboticstechnologiestoreduce

risksontheirassetsbyimplementingprotocolstogathermorefrequentdataoncriticalinfrastructureandsiteconditions,and(2)Operatorsareputtingmoretrustintomaturingtechnologicalofferingstofullyreplacehistoricallytimeconsumingpreventativemaintenancework.

[

7

]RaptorMapsGlobalSolarReport:2025Edition©2026RaptorMaps.Allrightsreserved.

AbouttheData

ThedatainthisreportcomesfromtheRaptorMapsplatform,whichidentifiesandcategorizesissuesonsolarassetsthatcancausepowerloss,safetyhazards,

unforeseencosts,andcompliancechallenges.Theseissuesrangefromthermaldefectsonindividualsolarcells,todamagedconnectorsthatcancausefires,tosubstationissuesthatcancauseashutdownanddisruptpowerdelivery.

Cumulatively,thisdatasetcontainsanalysison373GWdcofassets.Ofthatdata,

roughly80%comefromaerialthermographyinspections,withtheother20%from

advancedinspections–adiversecategoryinclusiveofmanyothercomponentsofasolarfarmsuchashigh-voltageinfrastructure,wiringandconnectors,and

environmentalconditions.

Eachyearsince2021,advancedinspectionshavebecomeagreaterproportionofthedataweanalyze.2025wasahighwatermarkforthistrend,whereadvanced

inspectionsaccountedfor43%ofallofthedatathatweanalyzed(seepage20forafullbreakdownofinspectionsinthiscategory).

Tocalculatepowerlossthroughoutthereport,aconsistentlossfactorisappliedtoeachcategoryofanomaly,withseverityofthatanomalyaccountedfor.

Wearealsoobservingasignificantriseinthenumberofinspections(full-siteandtargetedpartial)conductedpersite.Asaresult,weupdatedhowwecalculate

averagesystempowerlosstoaccountforthisoperationalchange,andretroactivelyappliedthismethodologytopreviousyears’dataforlike-for-likecomparisons.

Gigawatts(DC)

CumulativeDataAnalyzed

100

0

20212022202320242025

TraditionalAerialThermography

AdvancedInspections

400

200

300

©2026RaptorMaps.Allrightsreserved.

Chapter1

ASSETHEALTHDISPATCH

At5.08%,averageequipment-drivenpowerlossremained

persistentlyhighin2025–almostdoublethetrailing5yearaverage.Thischapterlooksatwhatisdrivingthis

underperformance,whyitissohighrelativetopreviousyears,andtrendsacrossregions,sitesizes,andsiteages.

©2026RaptorMaps.Allrightsreserved.7

2025AveragePowerLossStill2xComparedto5YearsAgo

AverageSystemPowerLoss%ofTotalCapacity

5.08%

2.36%

20212022202320242025

6%

5%

4%

3%

2%

1%

0%

Averagepowerlossdeclinedslightlyin2025.Thiswas,inpart,drivenbyreducedinverter-causedpowerlossobservedinourinspections,perhapsasaresultofhighfocuson

invertermaintenanceandrepair.However,theprevalenceofotherDCissuesincreasedin2025,includingstring,combiner,andtrackerissues(seepage10).DCpowerlossaffectsthefinancialperformanceofassets.Asiteexperiencingthe2025averagepowerloss

couldbelosingupto$5070perMWofannualizedrevenue.

WithMaturingTechnology,WhyisPowerLosssoPersistentlyHigh?

Thesteadyriseinaverageequipment-drivenpowerloss,which,at5.08%in2025ismorethandoublewhatitwasfiveyearsearlier,onitsface,mightseemcounterintuitive.Onemightexpectthatastechnologymatures–forexample,solarcellstodayaremoreefficientthantheyeverhavebeen–thataveragepowerlosson

solarassetswouldbedeclining,asopposedtoincreasing.Sowhatmightbecausingthisinverse

relationshipthatweareobservinginthedata?Whilethereisnotonemaincause,variousfactorsarelikelycontributingtothistrend:

1.MechanicalComplexity:Overthepastfewyears,solartechnologyandinfrastructurehasgottenmorecomplex.Thesechangeshavegivenassetshigherenergyharvestingpotential,butalsocreate

opportunitiesforcomponentstobreak,andaremoreitemsforoperationalteamstomaintain.For

example,theindustryhas,overtime,shiftedfromstatic,fixed-tiltrackingtoactivetrackingsystems.Whiletrackersincreaseenergyharvest,theyintroduceadditionalfailurepoints–motors,sensors,andcontrollers–thatrequireongoingcalibrationandrepair.

2.LaborAvailability:Workforcelimitationsalsoplayaroleinincreasingpowerloss.Asweshowonthefollowingpage,therapidexpansionofsolarcapacityhasoutpacedthegrowthofthesolarworkforce.ThiscreatesascenariowhereO&Mteamsarebeingstretchedthin.Today,anaveragetechnicianisresponsiblefor70%moreMWthantheywere5yearsago.

3.ManufacturingQuality:Therapidscalingofglobalproductionhasintroducednewvariablesinto

equipmentreliability.Accordingtorecentindustryaudits,modulenon-conformanceratesreacheda

decade-highof3.36%in2025[

9

].Thisspikecanbeattributed,inpart,toahandfulofnewmanufacturingfacilitiescomingonlinetomeetgrowingdemand,inadditiontonewercelltechnologiesbeingmass

producedforthefirsttime.

©2026RaptorMaps.Allrightsreserved.

[

8

]Luo,Wei,YongShengKhoo,PeterHacke,VolkerNaumann,DominikLausch,StevenP.Harvey,JaiPrakashSingh,JingChai,YanWang,ArminG.Aberle,andSeeramRamakrishna."Potential-InducedDegradationinPhotovoltaicModules:ACriticalReview."Energy&EnvironmentalScience10,no.1(2017):43–68.

/10.1039/c6ee02271e

.

[

9

]KiwaPIBerlin.The2025PVModuleManufacturingQualityReport.Kiwa,2025.

/us/en-us/about-kiwa/entities/kiwa-pi-berlin-usa/2025pvqualityreport/

.

EfficiencyinSolarProductionandOperationsWillBeCriticalforGridReliabilitythrough2030

DriversofUSPowerDemandGrowthThrough2030

USSolarJobsGrowthvs.CapacityGrowth

(2010-2024)

250

200

300

SolarJobs(Thousands)

250

200

GWdc

150

0

150

100

50

100

50

2010

2011

2012

2013

2014

2015

2016

2017

2018

2019

2020

2021

2022

2023

2024

0

2010

2011

2012

2013

2014

2015

2016

2017

2018

2019

2020

2021

2022

2023

2024

DataCentersOther

ManufacturingElectrification

Whileitwasencouragingtoseepowerlosstaperslightlyin2025,itisstillelevated,especiallygivenhowmuchsolarpowerwillbereliedupontofuelthebuildoutoftheelectricgridatatimewheredemandisgrowingatthemostrapidratesincethe1960sandtheadoptionofresidentialairconditioning.Through2030,electricitydemandintheUnitedStatesisprojectedtoincreaseby~166GW,a20%increaserelativetopeakdemandin2025.Thisincreasecomesaftertwodecadesofrelativelyflatdemand,andisbeinglargelydrivenbyanexplosionindatacenters(accountingfor~55%oftheprojecteddemandgrowth),electrificationofmanufacturingprocessesandenergyproduction(~20%),andelectrificationofcars,andbuildingheating(~21%)[

10

].Thedecouplingofcumulativesolarcapacityandtotal

workforcesince2010alsohighlightsasurgeinsectorproductivity.Installedcapacitygrewby2.86xbetween2019and2024alone,whilejobsincreasedbyonly12%.Thisefficiencycan,inpart,be

attributedtotheadoptionofadvancedO&Mtechnologiesthatallowteamstomanageincreasinglylargeandmorecomplexportfolios.However,thistrendmustcontinueifsolarisgoingtocontinuetogrowintoareliable,gridscaleenergyresourcethatcanmeetgrowingdemand.

©2026RaptorMaps.Allrightsreserved.

[

10

]GridStrategiesLLC.PowerDemandForecastsRevisedUpforThirdYearRunning:2025NationalLoadGrowthReport.GridStrategiesLLC,2025.

/wp-content/uploads/Grid-Strategies-National-Load-Growth-Report-2025.pdf

©2026RaptorMaps.Allrightsreserved.

PowerLosswasDrivenbyanArrayofEquipmentIssues

WhileinvertershavehistoricallyrepresentedthelargestdriverofDCcapacitylossonsolarfarms,thedatain2025revealedaninterestingpivot:power

lossfrominverterfaultsdecreasedalmost40%comparedtothepreviousyear,nowaccountingforlessthanaquarteroftotalobservedequipment-drivenlosses.Incontrast,theindustryisseeingasustainedriseinstring(+12.50%YoY)andcombiner(+10.20%YoY)faults,whichnowaccountfor26.89%and21.51%ofobservedpowerloss,respectively.Averagepowerlossfromtrackerissuessawthemostaggressiveincrease,jumping25%year-over-yearandnowcontributingnearly14%ofthetotallossprofile.

TheseshiftingproportionshighlighttheongoingchallengeofmanagingthesemoresilentDChealthkillers,signallingthattheymayrequiremoreoperationalattentionthantheyhavebeenpreviouslygiven.

Atamoregranularlevel,wecontinuetoobserveasteadyriseinsmaller

moduleleveldefects,whichincreased17.36%YoY.Whilethesesmaller

anomaliesresultinlessimmediaterevenuelossthaninverterorcombinerissues,theirrisingprevalenceisnoteworthy,asthesemoduleleveldefectscandeteriorateovertimeandbecomefirerisks,which,aswediscussin

Chapter3,areshowingupwithsurprisinglyhighfrequencyinourdataset.

%PowerLossWithandWithoutInverter-DrivenLoss

6%

5%

4%

3%

2%

1%

0%

20212022202320242025

With

Inverter

Without

Inverter

%PowerLossbyAnomaly

1.18%

0.77%

0.70%

1.08%

1.35%

20212022202320242025

Inverter

PhysicalDamageOther

Module-LevelTracker

CombinerString

6%

5%

4%

3%

2%

1%

0%

11

©2026RaptorMaps.Allrightsreserved.

ExampleofPowerLoss&EquipmentDamage

DiodeAnomaly

Cracking

StringAnomalies

©2026RaptorMaps.Allrightsreserved.

PowerLossisaChallengeAcrossAllSiteSizes

%PowerLossbyFarmSize(MWdc)%PowerLossbyFarmSize(MWdc)

Averageand25th/75thPercentile

7%

6%

5%

4%

3%

2%

1%

0%

20212022202320242025

000-005MW

005-020MW

020-050MW

050-100MW

100+MW

AllSites

1

P25AverageP75

0%

8%

6%

4%

2%

0%

All000-005005-020020-050050-100100+

SiteSize(MW)

Despitedifferentoperationalmodels,weobservesteadyincreasesinunderperformanceovertimeforallsitesizes.Itdoesappear,however,thatlargersites(>20MW)performslightlybetterthansmallerones(<20MW),perhapsindicatingdifferencesinoperationalefficienciesonnewer,larger,andmoreresourcedsites.

PowerLossAffectsSitesAcrossAllRegions

%PowerLossbyState

NJVALAAZNC

IN

SCTXFLMAOHORNYUSPAMDMECA

WI

GA

NV

IL

MN

MI

ALCOCT

0%2%4%6%8%

PowerLossbyISO

7%

6%

5%

4%

3%

2%

1%

0%

PJM

ERCOT

NYISO

ISONE

Southeast

AllData

CAISO

MISO

WECC

SPP

MapofISOs

©2026RaptorMaps.Allrightsreserved.NorthwestandSouthwestarecombinedasWECCforthisanalysis

©2026RaptorMaps.Allrightsreserved.SiteSize(MWdc)

PowerLossisanIssueatCommissioning,andWorsensOverTime

Thisyear,wealsoanalyzedhowunderperformanceiscorrelatedwiththe

ageofasite.Althoughitwasunsurprisingtoseepowerlossincreasingassitesgetolder,itwasalsofascinatingtoseetheupwardstrendinthedata,withaveragepowerlossincreasing55%betweenyears2and3of

operations.Notably,EPCwarrantyperiodsoftenlapseafter1to2years,

whichmayindicatearelationbetweenheightenedresourcingavailabilityanddecreasedpowerloss.Lookingfurtheroutinthefuture,onaverage,weseelossalmosttriplebetweenthesite’smoststable,productiveperiod(years1and2)andyear10.

Wealsonoticedthatsiteswereafflictedwithpowerlossalmostinstantly.Whenweconductedcommissioninginspections,averagepowerlosswasalready4.46%,orroughlyupto$4,450perMWdcofannualrevenueleakageifunresolved.ThissuggeststhatmorecollaborationwiththeEPCmusttakeplaceduringthecapacitytestingprocessinordertogetaheadofthis

capacitylossbeforesitesarefullycommissioned.

%PowerLossbySiteAge

Avg.PowerLoss

8%

6%

4%

2%

0%

0-0.50.5-11-22-33-44-55-1010+

SiteAge(Years)

10%

%PowerLossatCommissioning

Avg.PowerLoss

6%

5%

4%

3%

2%

1%

0%

AllSites000-005005-020020-050050-100100+

Chapter2

OPTIMIZINGPERFORMANCEWITHROBOTICS

In2025,RaptorMapsgrewthecumulativedeploymentofourdockeddronesolutionto17GWdcofsolarassets.The

burgeoningdatasetproducedfromthisexpandeddeploymentrevealedanoticeableshiftinbothoperationalbehaviorandperformance.Operationally,wesawsiteswiththetechnologyconductmorefrequent,targeted,andvariedinspections.Wealsoobservedsignificantoutperformanceonsiteswiththe

technologyrelativetositeswithoutit.

©2026RaptorMaps.Allrightsreserved.

©2026RaptorMaps.Allrightsreserved.

IssuesConsistentlyAriseonSolarFarms

DefectsperMWdcByFarmSize

20242025

350

300

250

200

150

100

50

0

000-005005-020020-050050-100100+

SiteSize(MWdc)

Oneofthetrendsthatstoodoutthisyearwasthattheprevalenceofissuesonsolarfarms

wentupin2025forsitesofalmostallsizes.Whilenotalldefectsrequireimmediateattention,theriseintheseanomaliesunderscoresanimportanttakeawayfromthisyear’sreport:to

optimizeDCperformance,morefrequentdataisneededonDChealthinordertocaptureissuesinamoretimelymannerastheyarise.

BreakdownofMWdcImpactedByAnomalyType

Other

PhysicalDamageModule-Level

TrackerCombinerInverter

String

22%

0

2024

100

80

60

40

5%

5%

4%

10%

18%

36%

6%

6%

14%

21%

24%

27%

2025

20

Whileinverter-drivenlosseshavedeclinedinourdataset,weseearising'thousandcuts'trendwherestring,combiner,andtrackerissuesnowaccountfora25%largershareof

totalMWimpactthanlastyear.Thisshiftfrommorecentralizedtomoredistributedpowerlossalsospeakstotheimportanceofmorefrequentdata,asproactiveidentificationof

theseanomaliesisnowbecomingessentialtopreventthemfromcompoundingintolargerproductiongaps.

ToRespondtoIncreasing

Issues,SitesareInspectingMoreFrequently

Theaveragesolarassetcompletedin2025wasthreetimesbiggerthanthehistoricalaverage[

11

].Assolarsitesgrowinsizeandcomplexity,ourdataisshowingthatmoreissuesarise,morefrequently.Perhapsasaresultofthis,weseeaclearpattern:sitesofallsizesgettinginspectedmorefrequently–atrendthatisespeciallypronouncedinlargersites.

Sitesinourdatasetthathavedockeddrones,however,areinspectingthemostfrequently.Thisislargelyduetotheoperationaleaseandlower

marginalcostofgatheringdatawhendockeddronetechnologyis

permanentlydeployedonasite.Operationally,siteswithdockeddronesareincreasingthefrequencyofpartial,circuit-block-specificinspections.Thisisadistinctchangeinapproachfromthestatusquoforaerialthermographyinspections,whichtraditionallyhappenonceortwiceayearandgatherdataacrossanentiresiteallatonce.Thistrendsuggeststhatsometeamsarebeginningtobelievethatmorefrequent,targetedinspectionsproducemoreactionabledataforprioritizingtimelyissueremediationandresolution.

[

11

]SolarEnergyIndustriesAssociation(SEIA).“MajorProjectsList.”2025.

InspectionsperSite

BySiteSize(MWdc),ByYear

Avg#ofInspectiper

20242025

AllSites005-020MW020-050MW050-100MW100+MW

3.0

2.5

2.0

1.5

1.0

0.5

0.0

InspectionTypePartialvs.Full

11.8x

Howmuchmorefrequentlysiteswithdockeddronesinspectedtheirsites,onaverage,in2025

FullSite

PartialSite

21.8%

78.2%

Siteswithdockeddronesare

performingmorefrequenttargeted

inspectionsvs.thefullsite

©2026RaptorMaps.Allrightsreserved.

HigherPerformancefromSiteswithMoreFrequentInspections

Average%PowerLoss

ByNumberofInspectionsAnnually

7%

6%

5%

4%

3%

2%

1%

0%

12345+

#ofAnnualInspections

Average%PowerLoss

GlobalAveragevs.AutonomousDroneSites

6%

5%

4%

3%

2%

1%

0%

GlobalAverageSiteswithAutonomousDrones

Aswedeployedourautonomousdockeddroneroboticssolutionacrossmoresolarassets,webegantotrackthecorrelati